{"id":"W6902960545","doi":"10.7916/d8-dayb-jr71","title":"Page No. 213 - Bank of Montreal, Winnipeg branch. [Interior]","year":2020,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Payment; Work (physics); Issuing bank; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001237639,0.0002391938,0.0007835457,0.0001273648,0.0002450873,0.00005952051,0.0006792896,0.0003220001,0.002492679],"category_scores_gemma":[0.0001350459,0.0004107285,0.0003968778,0.0009949205,0.0003000676,0.000318372,0.0005803649,0.001158349,0.0001390205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351687,"about_ca_system_score_gemma":0.0002210725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04436687,"about_ca_topic_score_gemma":0.02527806,"domain_scores_codex":[0.997866,0.0001413556,0.0004973516,0.0005857222,0.0003943366,0.0005152178],"domain_scores_gemma":[0.998139,0.0001407684,0.000260932,0.0005946245,0.0001980136,0.000666661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001087171,0.0002921192,0.3645732,0.0004449245,0.0004169769,0.0008989614,0.000804144,0.000004613465,0.03473868,0.0000834307,0.5876266,0.00902913],"study_design_scores_gemma":[0.007945134,0.001597416,0.2043426,0.0004939037,0.0009351582,0.000110938,0.0007813807,0.0007374473,0.0004345068,0.00008789219,0.7817644,0.0007691901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408758,0.0003662386,0.0000710842,0.003821735,0.0002313409,0.0007855701,0.000205571,0.0002328442,0.05340987],"genre_scores_gemma":[0.9776589,0.0003071304,0.0001430272,0.002882377,0.000255064,0.000003198001,0.00006793673,0.00005095641,0.01863139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1941378,"threshold_uncertainty_score":0.9998345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985045752430997,"score_gpt":0.2203012433475109,"score_spread":0.2004507858232009,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}